summary.lpcde {lpcde} | R Documentation |
Summary method for local polynomial density conditional estimation
Description
The summary method for local polynomial conditional density objects.
Usage
## S3 method for class 'lpcde'
summary(object, ...)
Arguments
object |
Class "lpcde" object, obtained from calling |
... |
Additional options, including (i) |
Value
Display output |
A list of specified options and a matrix of grid points and estimates. |
Author(s)
Matias D. Cattaneo, Princeton University. cattaneo@princeton.edu.
Rajita Chandak (maintainer), Princeton University. rchandak@princeton.edu
Michael Jansson, University of California Berkeley. mjansson@econ.berkeley.edu.
Xinwei Ma, University of California San Diego. x1ma@ucsd.edu.
See Also
lpcde
for local polynomial conditional density estimation.
Supported methods: coef.lpcde
, confint.lpcde
,
plot.lpcde
, print.lpcde
,
summary.lpcde
, vcov.lpcde
Examples
n <- 100
x_data <- as.matrix(rnorm(n, mean = 0, sd = 1))
y_data <- as.matrix(rnorm(n, mean = 0, sd = 1))
y_grid <- stats::quantile(y_data, seq(from = 0.1, to = 0.9, by = 0.1))
# density estimation
model1 <- lpcde::lpcde(x_data = x_data, y_data = y_data, y_grid = y_grid, x = 0, bw = 0.5)
summary(model1)